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  4. Towards detecting device fingerprinting on iOS with API function hooking
 
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2023
Conference Paper
Title

Towards detecting device fingerprinting on iOS with API function hooking

Abstract
Device fingerprinting is a technique that got popular at the end of the 90s by websites, to identify and track users. One of the biggest drivers behind such practices are advertising companies to identify users interests to personalize ads. From a user's perspective, this, of course, raises privacy concerns. While device fingerprinting and its detection has been extensively studied in the context of web browsing, little research has been conducted on device fingerprinting in mobile apps and especially iOS apps. In this paper, we capture the current state of device fingerprinting in iOS apps, and explore possible approaches for fingerprinting detection on mobile devices using static and dynamic app analysis techniques. Finally, we present a first heuristic approach for automatic behavior-based fingerprinting detection on iOS only using spatial and temporal context of relevant API-calls.
Author(s)
Heid, Kris  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Andrae, Vincent
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Heider, Jens  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Mainwork
European Interdisciplinary Cybersecurity Conference, EICC 2023. Proceedings  
Conference
European Interdisciplinary Cybersecurity Conference 2023  
DOI
10.1145/3590777.3590790
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Keyword(s)
  • dynamic analysis

  • fingerprinting

  • iOS

  • privacy

  • static analysis

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